Author

Aaron R. Chen

Salk Institute for Biological StudiesORCID 0000-0003-4938-3834Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:CRISPR screen· 2 Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:fine-mapping· 1

Frequent Co-Authors

Graham McVickeriD· 3 shared Hsiuyi V. CheniD· 3 shared Karthik GuruvayurappaniD· 2 shared Patrick C. FiauxiD· 2 shared Aaron J. Ho· 1 shared Ariana Fonseca· 1 shared Arko SeniD· 1 shared Carolyn O’ConnoriD· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersBioinformatics

Graham McVickerORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 26, 2023

Analysis of single-cell CRISPR perturbations indicates that enhancers act multiplicatively and provides limited evidence for epistatic-like interactions

Jessica Zhou, Karthik Guruvayurappan, Shushan Toneyan…·Graham McVicker

The paper analyzes single-cell CRISPR perturbations to show enhancers act multiplicatively with limited evidence for epistatic interactions.

5 citations

humanCRISPR screen

𝕏 PostBluesky

GenomicsThe American Journal of Human GeneticsPeer-reviewedMar 28, 2023

Deletion mapping of regulatory elements for GATA3 reveals a distal T helper 2 cell enhancer involved in allergic diseases

Hsiuyi V. Chen, Michael H. Lorenzini, Shanna N. Lavalle…·Graham McVicker

The paper identifies a distal enhancer for GATA3 involved in allergic diseases by combining GWAS signals with deletion mapping in T helper 2 cells.

18 citations

humanbulk RNA-seq

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BioinformaticsPLoS Computational BiologyPeer-reviewedSep 16, 2020

Discovering functional sequences with RELICS, an analysis method for tiling CRISPR screens

Patrick C. Fiaux, Hsiuyi V. Chen, Poshen B. Chen…·Graham McVicker

RELICS is a Bayesian method for analyzing tiling CRISPR screens to discover functional genomic sequences with higher resolution than existing approaches.

12 citations

CRISPR screenBayesian inference

𝕏 PostBluesky